• jacksilver@lemmy.world
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      2 months ago

      I’m curious what approaches you’re thinking about. When last looking into the matter I found some research in Neural Turing Machines, but they’re so obscure I hadn’t ever heard of them and assume they’re not widely used.

      While you could build a model to answer math questions for a set input space, these approaches break down once you expand beyond the input space.

        • jacksilver@lemmy.world
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          2 months ago

          Yeah, but since Neural networks are really function approximators, the farther you move away from the training input space, the higher the error rate will get. For multiplication it gets worse because layers are generally additive, so you’d need layers = largest input value to work.